Full Stack Engineer - W2 only
Why This Role Stands Out
This hybrid Full Stack Engineer role offers fantastic growth potential by allowing you to build modern applications with cutting-edge AI/ML capabilities on AWS, and there's even a path to full-time conversion. You'll thrive here if you have a strong application background with Python, TypeScript, and AWS infrastructure experience, and you'll benefit from a collaborative environment focused on innovation. Apply now to join this exciting data push and shape the future of AI integration!
Quick Overview
Job Description
- It is preferred that the contractors sit in Malvern but they also can sit in Plano, TX.
- There will be one panel interview for 60 minutes and there will be a coding/logic exercise on the interview.
- Has 4 openings due to a data push and trying to get ahead of the curve with AI capabilities.
- Looking for senior engineers with an application background and can code
- Looking for candidates with infrastructure exp
- Would love to have candidates with front end experience but that is not a critical requirement.
- Skills needed: Backend – python and typescript/ DevOps – building pipelines/ Bedrock
- He would even like to consider converting to full time in the future. Please let him know if they can convert.
Responsibilities
- A Full Stack Cloud Engineer responsible for building and maintaining modern applications across front-end and back-end, leveraging AWS for scalability and security, while incorporating AI/ML capabilities such as LLM-powered features, intelligent APIs, and automation workflows.
Qualifications
- Front-End Development
- Build responsive, accessible UI using HTML5, CSS3, TypeScript, and React.
- Optimize performance and implement unit/E2E testing (e.g., Vitest, Tailwind).
- Back-End Development
- Develop scalable services and APIs using TypeScript and Python.
- Design and maintain microservices architecture.
- Cloud Engineering
- Deploy and manage applications on AWS (ECS, Lambda, S3, DynamoDB).
- Implement IaC (CloudFormation/Terraform) and CI/CD via GitHub.
- Apply AWS security best practices (IAM, secure design).
- Poly cloud understanding a plus (Google Cloud Platform, Azure)
- DevOps & Automation
- Automate deployments, monitoring, and scaling (CloudWatch, Splunk, Docker/ECS).
- Optimize application performance and reliability.
- AI / ML Engineering
- Build and integrate AI-driven features (LLMs, intelligent APIs, automation workflows).
- Implement RAG patterns, AI pipelines, and model integrations (Bedrock, SageMaker).
- Optimize and monitor models for accuracy, drift, bias, and observability.
- Leverage Claude/equivalent frontier models to engineer solutions
Responsibilities
- A Full Stack Cloud Engineer responsible for building and maintaining modern applications across front-end and back-end, leveraging AWS for scalability and security, while incorporating AI/ML capabilities such as LLM-powered features, intelligent APIs, and automation workflows.
Skills
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